Introduction:
Dataprophet collects billions of data points every month from factories around the globe, from different systems and manufacturing equipments and across different industries! - yet we're just getting started. Our products and services consist of a fleet of purpose-built industrial edge devices (EDGE), a data storage solution, and web front-end for data visualisation (CONNECT). Bespoke data science and machine learning solutions are then built on top of customers’ data (ML).
Role Overview:
The most exciting part of this dynamic role is the opportunity to bring Data Analytics, AI/ML solutions into the real world!
As a Data Scientist, you will play a key role in the success of our solution deployments at our customers. This entails a few different dimensions including customer production and operational processes understanding, manufacturing data interpretation, critical review and processing, and building fit for purpose data ingest, processing and analytics pipelines.
You will be responsible for building data representations of physical processes and running analytics and optimisation services against these models as part of the delivery of DataProphet’s award winning suite of solutions, leveraging the extensive tooling and framework built and designed by the DataProphet team.
Our products include a range of ML and AI techniques such as dimensionality reduction, clustering, time series modelling, and anomaly detection, among others, leveraging both established and cutting edge tools and techniques.
Roles and responsibilities will include, but are not limited to:
- Identifying key data sources and guiding the configuration of data extraction systems.
- Understanding the generated data and the physical process
- Building data processing scripts to extract key aspects of the process and represent the flow of material through the production process.
- Training and Evaluating models and performing qualitative and quantitative investigations.
- Communicating data exploration, analytics and modelling results to a technical audience.
Qualifications & Experience:
- STEM Qualification: Computer Science, Engineering, Mathematics, Statistics or similar degree.
- Experience working with Python, with exposure to introductory data science.
- Experience using Linux systems.
- Experience working with manufacturing or production data would be a huge advantage.
- Basic understanding of software engineering principles.
- Principled and practical understanding of basic statistics and high level machine learning.
- Basic knowledge of AWS.
Why join DataProphet?
We are a small but diverse and very ambitious team who are passionate about what we do and aligned in our vision to create inspiring change in the world around us. We spend our days solving challenging technical problems in manufacturing using cutting edge AI.
Our global team works together through the use of technology which is supported by a culture of consistent communication. It is a professional but supportive and fun environment created to provide a space for everyone to bring their best selves to work every day. As a way of connecting and strengthening relationships, when possible, we come together as a team in Cape Town each year for a strategic planning and team building offsite event.
The spirit of curiosity and continuous learning are in our DNA and we encourage everyone to approach all things in this manner so that we continue to grow and develop both as professionals and individuals.
We’re looking for highly skilled, passionate people to help us do something daring, difficult, and incredibly rewarding. If you’re ready to be inspired, solve problems, grow professionally, and unleash your talent…then apply today.
